#jupyter_notebook #ai #computer_vision #computervision #deep_learning #deep_neural_networks #deeplearning #machine_learning #opencv #opencv_cpp #opencv_library #opencv_python #opencv_tutorial #opencv3

https://github.com/spmallick/learnopencv

#javascript #ai #caffe #caffe2 #coreml #darknet #deep_learning #deeplearning #keras #machine_learning #machinelearning #ml #mxnet #neural_network #onnx #paddle #pytorch #tensorflow #tensorflow_lite #torch #visualizer

https://github.com/lutzroeder/netron

#python #billing #classification #deep_learning #deep_neural_networks #deeplearning #information_extraction #information_retrieval #invoice #invoice_insight #invoice_management #invoice_parser #invoice_pdf #invoice_software #invoices #keras #keras_neural_networks #keras_tensorflow

https://github.com/naiveHobo/InvoiceNet

#other #awesome_list #deeplearning #natural_language_processing #naturallanguageprocessing #nlp

https://github.com/ivan-bilan/The-NLP-Pandect

#python #artificial_intelligence #audio_processing #deep_learning #deeplearning #embeddings #encodings #image2vec #machine_learning #neural_network #pytorch #tensorflow #tfhub #transformers #vector #vector_similarity #video_processing #word2vec

https://github.com/vector-ai/vectorhub

#python #attention #attention_is_all_you_need #attention_mechanism #deep_learning #deeplearning #jupyter #original_transformer #pytorch #pytorch_transformer #pytorch_transformers #transformer #transformer_tutorial #transformers

https://github.com/gordicaleksa/pytorch-original-transformer

#python #deep_neural_networks #deployment #detection #neural_networks #classification #segmentation #resnet #deeplearning #unet #industry #jetson #mobilenet #yolov3

https://github.com/PaddlePaddle/PaddleX

#kotlin #machine_learning #deep_learning #machine_learning_algorithms #artificial_intelligence #deeplearning #mlops #mlops_environment

https://github.com/MLReef/mlreef

#other #awesome #awesome_list #conformal_prediction #datascience #deeplearning #machine_learning #machinelearning #probability #probability_distribution #probability_distributions #python #r #uncertainty #uncertainty_estimation #uncertainty_quantification

https://github.com/valeman/awesome-conformal-prediction

#jupyter_notebook #ai #computer_vision #computervision #deep_learning #deep_neural_networks #deeplearning #machine_learning #opencv #opencv_cpp #opencv_library #opencv_python #opencv_tutorial #opencv3

Learning OpenCV and AI can greatly benefit your career by opening up opportunities in fields like autonomous vehicles, healthcare, and robotics. OpenCV University offers comprehensive courses that teach computer vision and deep learning using frameworks like PyTorch. These courses are project-based, providing hands-on experience with real-world applications. By mastering these skills, you can develop innovative solutions and even start your own AI company. The courses are accessible to beginners and offer lifetime access for continuous learning.

https://github.com/spmallick/learnopencv

#python #asr #deeplearning #generative_ai #large_language_models #machine_translation #multimodal #neural_networks #speaker_diariazation #speaker_recognition #speech_synthesis #speech_translation #tts

NVIDIA NeMo is a powerful, easy-to-use platform for building, customizing, and deploying generative AI models like large language models (LLMs), vision language models, and speech AI. It lets you quickly train and fine-tune models using pre-built code and checkpoints, supports the latest model architectures, and works on cloud, data center, or edge environments. NeMo 2.0 is even more flexible and scalable, with Python-based configuration and modular design, making it simple to experiment and scale up. The main benefit is that you can create advanced AI applications faster, with less effort, and at lower cost, while getting high performance and easy deployment options[1][2][3].

https://github.com/NVIDIA/NeMo